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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "cudacellr" in publications use:'
type: software
license: MIT
title: 'cudacellr: GPU-Aware Single-Cell Analysis Workflows'
version: 0.4.0.9000
doi: 10.32614/CRAN.package.cudacellr
abstract: Provides single-cell analysis primitives for sparse count matrices, including
  library-size normalization, log-normalization, highly variable feature selection,
  principal component analysis, and nearest-neighbour construction. Integrates the
  'cudaverse' numerical and sparse layers while preserving matrix identifiers and
  recording the computation backend for each stage. Optional adapters preserve native
  'SingleCellExperiment' and 'SeuratObject' version 5 object structures.
authors:
- family-names: Li
  given-names: Yaoxiang
  email: liyaoxiang@outlook.com
repository: https://cudaverse.r-universe.dev
repository-code: https://github.com/cudaverse/cudacellr
commit: 5408d9244ae6d20a48e9b4111211023bb7daacdf
url: https://cudaverse.github.io/cudacellr/
date-released: '2026-10-19'
contact:
- family-names: Li
  given-names: Yaoxiang
  email: liyaoxiang@outlook.com